Rajkumar Divya, Pranay Tyagi, Ishita Ghosh, Arputharaj Joseph Nathanael
{"title":"Advances in magnetic nanoparticle-based detection of bacteria: Strategies, challenges, and future perspectives","authors":"Rajkumar Divya, Pranay Tyagi, Ishita Ghosh, Arputharaj Joseph Nathanael","doi":"10.1016/j.sbsr.2026.101081","DOIUrl":null,"url":null,"abstract":"<div><div>Bacterial diseases and their different forms of severity affect millions of people worldwide at any given time. Conventional bacterial detection methods, though widely used, are limited by long processing times, reliance on skilled personnel, sophisticated equipment, and poor suitability for point-of-care use. Thus, there is a constant need for advanced bacterial detection methods and techniques that will produce rapid results so that early diagnosis of diseases can be done. It will also help in ensuring the safety of food and environmental samples, which are the most common sources of bacterial diseases. This is where magnetic nanoparticles (MNPs) prove to be valuable and effective. Their properties of superparamagnetism, high surface-to-volume ratio, biocompatibility and the convenience of functionalization make MNPs a reliable and advanced tool for rapid bacterial detection. This review provides an overview of the current bacterial detection mechanisms using MNPs and how different strategies for their compositional or surface modifications can improve sensitivity and optimize the rate of limit-of-detection (LOD). Real-time application of MNPs for bacterial detection in samples such as food, environmental sources, urine, blood, and other body fluids or cells has also been studied in this review. It also discusses the recent developments incorporating MNPs in other detection techniques, such as CRISPR, and explores how artificial intelligence (AI) can be used to build smart detection systems.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"53 ","pages":"Article 101081"},"PeriodicalIF":4.7000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensing and Bio-Sensing Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214180426001327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/30 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Bacterial diseases and their different forms of severity affect millions of people worldwide at any given time. Conventional bacterial detection methods, though widely used, are limited by long processing times, reliance on skilled personnel, sophisticated equipment, and poor suitability for point-of-care use. Thus, there is a constant need for advanced bacterial detection methods and techniques that will produce rapid results so that early diagnosis of diseases can be done. It will also help in ensuring the safety of food and environmental samples, which are the most common sources of bacterial diseases. This is where magnetic nanoparticles (MNPs) prove to be valuable and effective. Their properties of superparamagnetism, high surface-to-volume ratio, biocompatibility and the convenience of functionalization make MNPs a reliable and advanced tool for rapid bacterial detection. This review provides an overview of the current bacterial detection mechanisms using MNPs and how different strategies for their compositional or surface modifications can improve sensitivity and optimize the rate of limit-of-detection (LOD). Real-time application of MNPs for bacterial detection in samples such as food, environmental sources, urine, blood, and other body fluids or cells has also been studied in this review. It also discusses the recent developments incorporating MNPs in other detection techniques, such as CRISPR, and explores how artificial intelligence (AI) can be used to build smart detection systems.
期刊介绍:
Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies.
The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.